Haar Features Based Face Detection and Recognition for Advanced Classroom and Corporate Attendance | Abstract

ISSN ONLINE(2320-9801) PRINT (2320-9798)

Research Article Open Access

Haar Features Based Face Detection and Recognition for Advanced Classroom and Corporate Attendance

Abstract

Face of a person is its recognition. Methods are implemented to exploit this physical feature have seen a great change after the image processing techniques came into existence. The attendance is taken in every schools, colleges, library and corporate offices. It takes some time to record attendance.In this approach, we are using face detection and recognition system. This face detection differentiates faces from non-faces and is therefore essential for accurate attendance. To avoid wastage in time, we are about to use an automatic process which is based on image processing. In the present approach along with the face recognition we are using face detection system. This face detection system detects faces of individuals on the basis of intensities of pixels in the snap shots. The ARM Processor module is used for displaying Number of Presentees and the people present. The camera will be connected to the ARM. The student or employees database is collected. The database includes name of the students/employees, there images. This webcam module will be installed at the front side of class in such a way that it can capture entire class or in front of a main office door. Thus with the help of this system, time will be saved and it will be very much convenient to record attendance.

Tiwari Priti Anilkumar, Kalyani Jha, Karishma P Uchil, Naveen H

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